Callback

class hybrid_learning.concepts.train_eval.callbacks.Callback(*args, **kwds)

Bases: Mapping

A callback base class that eases implementing a custom callback handle.

A callback handle simply is a mapping of CallbackEvents to callback functions. One callback can define several pairs of event and callback function. A callback function is any function that can be called via callback_fun(**callback_context), where callback_context is a mapping of key-value pairs. The correct callback function for a given event and callback context can be called using run_callbacks().

To add a callback function to an implementation of this class, just implement it as method with the same name as the callback event’s value. Make sure to add a **_ catch-all argument to each defined callback function to allow ignoring unused key-value pairs from the callback context.

Public Methods:

keys()

Collect a list of all supported callback events.

Inherited from : py: class:Mapping

get(k[,d])
keys()	Collect a list of all supported callback events.
items()
values()

Special Methods:

__getitem__(event)	Get the method for the specified event or a pass lambda.
__len__()	Number of mapped events.
__iter__()	Iterate over mapped events.

Inherited from : py: class:Mapping

__getitem__(event)	Get the method for the specified event or a pass lambda.
__contains__(key)
__eq__(other)	Return self==value.

Inherited from : py: class:Sized

__len__()

Number of mapped events.

Inherited from : py: class:Iterable

__iter__()

Iterate over mapped events.

Inherited from : py: class:Container

__contains__(key)

---

__getitem__(event)

Get the method for the specified event or a pass lambda.

Parameters

event (CallbackEvents) –

__iter__()

Iterate over mapped events.

__len__()

Number of mapped events.

static from_descriptor(desc)

Given a descriptor, extract contained information.

Parameters

desc (str) –

Return type

Dict[str, str]

keys()

Collect a list of all supported callback events.

Return type

List[CallbackEvents]

static to_descriptor(log_prefix=None, run=None, epoch=None, batch=None)

Merge logging information into file name descriptor. log_dir is prepended as path, the rest is merged with _.

Parameters

• log_prefix (Optional[str]) –

• run (Optional[str]) –

• epoch (Optional[int]) –

• batch (Optional[int]) –

Return type

str

__orig_bases__ = (typing.Mapping,)

__parameters__ = ()